#  Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserve.
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable law or agreed to in writing, software
#distributed under the License is distributed on an "AS IS" BASIS,
#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#See the License for the specific language governing permissions and
#limitations under the License.
'''
Generate samples from validation dataset for inference.
'''

import json
annos = json.load(open("activitynet_1.3_annotations.json"))
infer_data = {}
count = 0
for video_name in annos.keys():
    if annos[video_name]["subset"] == 'validation':
        infer_data[video_name] = annos[video_name]
        count += 1
        if count == 5:
            break
with open('infer.list.json', 'w') as f:
    json.dump(infer_data, f)
